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The influence of a macroscopic time-dependent threshold on the retrieval dynamics of attractor associative memory models with ternary neurons {−1, 0.+ 1} is examined. If the threshold is chosen appropriately in function of the crosstalk noise and of the activity of the memorized patterns in the model, adapting itself in the course of the time evolution, it(More)
A complete self-control mechanism is proposed in the dynamics of neural networks through the introduction of a time-dependent threshold, determined in function of both the noise and the pattern activity in the network. Especially for sparsely coded models this mechanism is shown to considerably improve the storage capacity, the basins of attraction and the(More)
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